The 95% confidence interval for B₁ is the interval: A. (B₁ - 1.645SE (1), ₁ + 1.645SE (B1)). B. (ẞ1-1.96SE (B1), ß₁ + 1.96SE (ß₁)) · ○ C. (₁ - 1.96, ³₁ + 1.96). - D. (³₁ − 1.96SE (³₁), ³₁ + 1.96SE (γ₁)). 8 Consider the regression model Y₁ = BX; +u; Where ui and X; satisfy the assumptions specified here. Let ẞ denote an estimator of ẞ that is constructed as ẞ Show that ẞ is a linear function of Y₁, Y2,..., Y. 1 +Yn) | (X1, X2,..., Xn) = Show that ẞ is conditionally unbiased. 1. E (Y;|X1, X2, Xn) = 2. E(B|×₁, X2,..., Xn) = E 1 3 II where Y and X are the sample means of Y; and X;, respectively. ☑' = B

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.1: Measures Of Center
Problem 9PPS
Question

please give me the right answer for both of thesd problem by fallowing the format too please

The 95% confidence interval for B₁ is the interval:
A.
(B₁
- 1.645SE (1), ₁ + 1.645SE (B1)).
B. (ẞ1-1.96SE (B1), ß₁ + 1.96SE (ß₁)) ·
○ C. (₁ - 1.96, ³₁ + 1.96).
-
D. (³₁ − 1.96SE (³₁), ³₁ + 1.96SE (γ₁)).
8
Transcribed Image Text:The 95% confidence interval for B₁ is the interval: A. (B₁ - 1.645SE (1), ₁ + 1.645SE (B1)). B. (ẞ1-1.96SE (B1), ß₁ + 1.96SE (ß₁)) · ○ C. (₁ - 1.96, ³₁ + 1.96). - D. (³₁ − 1.96SE (³₁), ³₁ + 1.96SE (γ₁)). 8
Consider the regression model
Y₁ = BX; +u;
Where ui
and X; satisfy the assumptions specified here. Let ẞ denote an estimator of ẞ that is constructed as ẞ
Show that ẞ is a linear function of Y₁, Y2,..., Y.
1
+Yn)
| (X1, X2,..., Xn)
=
Show that ẞ is conditionally unbiased.
1. E (Y;|X1, X2, Xn) =
2. E(B|×₁, X2,..., Xn) = E
1 3
II
where Y and X are the sample means of Y; and X;, respectively.
☑'
= B
Transcribed Image Text:Consider the regression model Y₁ = BX; +u; Where ui and X; satisfy the assumptions specified here. Let ẞ denote an estimator of ẞ that is constructed as ẞ Show that ẞ is a linear function of Y₁, Y2,..., Y. 1 +Yn) | (X1, X2,..., Xn) = Show that ẞ is conditionally unbiased. 1. E (Y;|X1, X2, Xn) = 2. E(B|×₁, X2,..., Xn) = E 1 3 II where Y and X are the sample means of Y; and X;, respectively. ☑' = B
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